问题描述
我收到断言错误,无法弄清楚问题出在哪里。相同的代码行适用于另一个列表,但是当我尝试与此列表进行完全相同的操作时,它将引发断言错误。我正在使用standfordnp。
negative_list = negative_df['tweet'].to_list()
negative_list
new_list=[]
for line in negative_list:
txt_list = nltk.word_tokenize(line)
taggedList = nltk.pos_tag(txt_list)
new_list.append(taggedList)
#print(taggedList)
new_list
newwordList = []
flag = 0
for j in new_list:
for i in range(0,len(j)-1):
if(new_list[i][1]=="NN" and new_list[i+1][1]=="NN"):
newwordList.append(new_list[i][0]+new_list[i+1][0])
flag=1
else:
if (flag==1):
flag=0
continue
newwordList.append(new_list[i][0])
if (i==len(new_list)-2):
newwordList.append(new_list[i+1][0])
finaltxt = '\n '.join(' '.join(word) for word in newwordList) #print('\n'.join(''.join(elems) for elems in data))
print(finaltxt)
nlp = stanfordnlp.Pipeline()
doc = nlp(finaltxt)
dep_node = []
for dep_edge in doc.sentences[0].dependencies:
dep_node.append([dep_edge[2].text,dep_edge[0].index,dep_edge[1]])
for i in range(0,len(dep_node)):
if (int(dep_node[i][1]) != 0):
dep_node[i][1] = newwordList[(int(dep_node[i][1]) - 1)]
print(dep_node)
**After this statement i am getting this error:**
AssertionError Traceback (most recent call last)
<ipython-input-30-7f55b8388dd9> in <module>()
1 nlp = stanfordnlp.Pipeline(pos_batch_size=4096)
----> 2 doc = nlp(finaltxt)
3 dep_node = []
4 for dep_edge in doc.sentences[0].dependencies:
5 dep_node.append([dep_edge[2].text,dep_edge[1]])
4 frames
/usr/local/lib/python3.6/dist-packages/stanfordnlp/models/pos/data.py in __getitem__(self,key)
89 batch_size = len(batch)
90 batch = list(zip(*batch))
---> 91 assert len(batch) == 4096
92
93 # sort sentences by lens for easy RNN operations
AssertionError:
解决方法
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